{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import h5py\n",
    "import sys\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.cm as cm\n",
    "import numpy as np\n",
    "from enum import Enum\n",
    "import collections\n",
    "from pylab import meshgrid\n",
    "\n",
    "\n",
    "\n",
    "%matplotlib inline\n",
    "\n",
    "class FIELD(Enum):\n",
    "        __order__ = ' VOLUME DENSITY ENERGY PRESSURE TEMPERATURE DIVERGENCES VELOCITY_OUT VELOCITY_CTS VELOCITY_HTS ZONE_CENTR CRD_CENTR CRD_EXT_CENTR'\n",
    "        VOLUME = [0,['vol_zone','zonem']]\n",
    "        DENSITY = [1,['dens']]\n",
    "        ENERGY = [2,['specIntErg']]\n",
    "        PRESSURE = [3,['pres']]\n",
    "        TEMPERATURE = [4,['temp']]\n",
    "        DIVERGENCES = [5,['divi', 'divq']]\n",
    "        VELOCITY_OUT = [6,['vel_out_0','vel_out_1']]\n",
    "        VELOCITY_CTS = [7,['vel_cts_0','vel_cts_1']]\n",
    "        VELOCITY_HTS = [8,['vel_hts_0','vel_hts_1']]\n",
    "        ZONE_CENTR = [9,['centr_zone_0','centr_zone_1']]\n",
    "        CRD_CENTR = [10,['coord_0','coord_1']]\n",
    "        CRD_EXT_CENTR = [11,['crdext_0','crdext_1']]\n",
    "        \n",
    " \n",
    "                    \n",
    "def loadData(filePath):           \n",
    "        f = h5py.File(filePath)\n",
    "        allData = collections.defaultdict(lambda: np.ndarray(0))\n",
    "        for fld in FIELD:\n",
    "                VAR0_name = 'vars/'+fld.value[1][0]\n",
    "                SHAPE = f[VAR0_name].shape            \n",
    "                Lx=SHAPE[0]\n",
    "                Ly=SHAPE[1]\n",
    "                data = np.zeros([Lx, Ly, 3])\n",
    "                idx = 0\n",
    "                for field in fld.value[1]:\n",
    "                    VAR_name = 'vars/'+field\n",
    "                    print VAR_name, Lx, Ly\n",
    "                    data[...,idx] = f[VAR_name][...,0]\n",
    "                    idx += 1\n",
    "                    allData[fld] = data                   \n",
    "        f.close()\n",
    "        return allData\n",
    "        \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "vars/vol_zone 1002 31\n",
      "vars/zonem 1002 31\n",
      "vars/dens 1002 31\n",
      "vars/specIntErg 1002 31\n",
      "vars/pres 1002 31\n",
      "vars/temp 1002 31\n",
      "vars/divi 1002 31\n",
      "vars/divq 1002 31\n",
      "vars/vel_out_0 1000 30\n",
      "vars/vel_out_1 1000 30\n",
      "vars/vel_cts_0 1000 30\n",
      "vars/vel_cts_1 1000 30\n",
      "vars/vel_hts_0 1000 30\n",
      "vars/vel_hts_1 1000 30\n",
      "vars/centr_zone_0 1002 31\n",
      "vars/centr_zone_1 1002 31\n",
      "vars/coord_0 1000 30\n",
      "vars/coord_1 1000 30\n",
      "vars/crdext_0 1004 32\n",
      "vars/crdext_1 1004 32\n"
     ]
    }
   ],
   "source": [
    "filePath = '/PATH/TO/HYDRO-ALE/output/'\n",
    "fileName = 'test_template_9.h5'\n",
    "DATA = loadData(filePath+fileName)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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gZkaqTyHpbHuPbcuXyGk4cCIiIiKKEwdO5GjNhy6m+hSSytYaJ5vYli+5AB+5QkRERETR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\nyBInY4wxxpgYWeJkjDHGGBOj/wdbY/x7iXS9ngAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11376e110>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data2Plt = DATA[FIELD.DENSITY][...,0]\n",
    "\n",
    "coord_x = DATA[FIELD.CRD_EXT_CENTR][...,0]\n",
    "coord_y = DATA[FIELD.CRD_EXT_CENTR][...,1]\n",
    "\n",
    "fig, ax = plt.subplots(num = 0, figsize = [10, 10], dpi = 100) \n",
    "\n",
    "step_x = 20;\n",
    "step_y = 1;\n",
    "Lx = coord_x.shape[0]\n",
    "Ly = coord_x.shape[1]\n",
    "for i in range(0, Ly, step_y):\n",
    "    resy = np.zeros(Lx)\n",
    "    resx = np.zeros(Lx)\n",
    "    for j in range(0, Lx):        \n",
    "        resx[j] = coord_x[j,i]\n",
    "        resy[j] = coord_y[j,i]        \n",
    "    ax.plot(resx,resy,\"k-\")\n",
    "\n",
    "    \n",
    "for i in range(0, Lx, step_x):\n",
    "    resy = np.zeros(Ly)\n",
    "    resx = np.zeros(Ly)\n",
    "    for j in range(Ly):        \n",
    "        resx[j] = coord_x[i,j]\n",
    "        resy[j] = coord_y[i,j]        \n",
    "    ax.plot(resx,resy,\"k-\")\n",
    "    \n",
    "im = ax.pcolormesh(coord_x[0:Lx-1,0:Ly-1], coord_y[0:Lx-1,0:Ly-1], data2Plt[0:Lx,0:Ly])\n",
    "cbar = fig.colorbar(im,  pad = 0.2)\n",
    "ax.grid()"
   ]
  }
 ],
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